Create app.py

app.py

@@ -0,0 +1,39 @@
+import gradio as gr
+from transformers import AutoTokenizer, AutoModelForCausalLM
+import torch
+
+MODEL_NAME = "ibm-granite/granite-20b-code-base-r1.1"
+
+# Load tokenizer and model
+tokenizer = AutoTokenizer.from_pretrained(MODEL_NAME)
+model = AutoModelForCausalLM.from_pretrained(
+    MODEL_NAME,
+    torch_dtype=torch.float16 if torch.cuda.is_available() else torch.float32,
+    device_map="auto"
+)
+
+
+def generate_code(prompt):
+    inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
+
+    outputs = model.generate(
+        **inputs,
+        max_new_tokens=200,
+        temperature=0.7,
+        do_sample=True
+    )
+
+    response = tokenizer.decode(outputs[0], skip_special_tokens=True)
+    return response
+
+
+interface = gr.Interface(
+    fn=generate_code,
+    inputs=gr.Textbox(lines=10, placeholder="Enter your prompt here..."),
+    outputs=gr.Textbox(lines=10),
+    title="Granite Code Generator",
+    description="Generate code using IBM Granite model"
+)
+
+if __name__ == "__main__":
+    interface.launch()